|Table of Contents|

SWOT Analysis and Strategy Research on Informatization of Agricultural Product Quality and Safety Supervision

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2023年15
Page:
143-149
Research Field:
Publishing date:

Info

Title:
SWOT Analysis and Strategy Research on Informatization of Agricultural Product Quality and Safety Supervision
Author(s):
CHEN Lei1; 2; ZHONG Yao1; 2; NIE Ying1; 2; BU Haiqiao1; 2; ZHAO Jichun1; 2
(1.Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097；2.The Research Center of Beijing Engineering Technology for Rural Remote Information Services,Beijing 100097)
Keywords:
quality and safety of agricultural products; informatization; supervision strategy; SWOT model
PACS:
-
DOI:
10.11937/bfyy.20224917
Abstract:
The quality and safety of agricultural products is the basic guarantee of the highquality development of agriculture,which is related to the health and life safety of the people,economic development and social stability.The informatization of agricultural product quality and safety supervision is an effective way to improve the level of agricultural product quality supervision.SWOT model was used to objectively analyze the development of informatization of agricultural product quality and safety supervision in China.The advantages and opportunities in development strategy,policy guarantee and supervision system,and the disadvantages and threats in data sharing,balanced development and production and marketing information were analyzed by using cross matching of internal and external factors and SWOT matrix.The differentiated development strategy was proposed to provide reference for the digital intelligent supervision.

References:

[1]姜波.欧洲食品安全问题频发[N].人民日报,2018-05-08(022).[2]New era of smarter food safety [EB/OL]. (2022-10-07) [2022-08-25]. https:// www. fda.gov / food/newerasmarterfoodsafety.[3]韩智,王会霞,龚蕾,等.大数据技术在食品安全监管中的应用及挑战[J].食品安全质量检测学报,2022,13(3):956-962.[4]MISRA N N,DIXIT Y,ALMALLAHI A,et al.IoT,big data,and artificial intelligence in agriculture and food industry[J].Ieee Internet of Things Journal,2022,9(9)：6305-6324.[5]TAGLIABUE G,AMMANN K.Some basis for a renewed regulation of agrifood biotechnology in the EU[J].Journal of Agricultural & Environmental Ethics,2018,31 (1)：39-53.[6]王璜,李明贤.质量安全追溯体系三方动态演化博弈及仿真分析[J].江西社会科学,2021,41(12):208-218.[7]张骞,淮贺举,孙宁,等.信息化引领现代农业园区发展现状与对策研究[J].中国农业科技导报,2019,21(12):8-13.[8]YADAV V S,SINGH A R,RAUT R D,et al.Exploring the application of Industry 4.0 technologies in the agricultural food supply chain：A systematic literature review[J].Computers & Industrial Engineering,2022,169:108304.[9]李建军,汪校铃,杨玉,等.基于物联网农产品质量安全追溯体系构建的研究[J].北方园艺,2020(8):141-146.[10]崔占峰,徐冠清,王瑾珑.信任重建:有机农业追溯-信任体系的区块链嵌入探索[J].科技管理研究,2021,41(16):130-137.[11]宋英卓,吴晓明,钱建平,等.多要素融合的农产品质量安全精准监管系统构建与应用[J].中国农业资源与区划,2020,41(8):41-48.[12]王新平,柴尚森.基于多准则决策的食用农产品追溯体系效能影响因素分析[J].食品科学,2022,43(5):46-54.[13]MA C,WANG D,HU Z,et al.Considerations of constructing quality,health and safety management system for agricultural products sold via Ecommerce[J].International Journal of Agricultural and Biological Engineering,2021,11(1):31-39.[14]陈钰芬.基于全流程的进口B2C跨境电商商品质量风险评估体系构建[J].商业经济与管理,2019(12):5-16.[15]王祖良,郭建新,张婷,等.农产品质量溯源RFID标签批量识别[J].农业工程学报,2020,36(10):150-157.[16]王忠,胡栋,孙志忠,等.空间频域成像在农产品品质检测中的应用现状与展望[J].农业工程学报,2021,37(15):275-288.[17]聂明珠,刘慧萍.基于政府与小农散户博弈视角的农产品质量安全规制路径选择[J].北方园艺,2020(7):159-165.[18]张小允,许世卫.新发展阶段提升中国农产品质量安全保障水平研究[J].中国科技论坛,2022(9):155-162.[19]农业农村部新闻办公室.2021全国县域农业农村信息化发展水平评价报告[EB/OL].(2022-10-07)[2021-12-20].http://www.moa.gov.cn/xw/zwdt/202112/t20211220_6385157.htm.[20]李道亮,杨昊.农业物联网技术研究进展与发展趋势分析[J].农业机械学报,2018,49(1):1-20.[21]杨建辉,杨伦.农产品质量安全内部协调度和耦合度测算及影响因素分析[J].自然资源学报,2022,37(2):494-507.[22]许振宇,何蕾,郭雪松,等.基于公众情绪视角的食药类事件风险放大机理研究[J].风险灾害危机研究,2019(1):215-235.[23]杨建辉,杨伦.农产品质量安全内部协调度和耦合度测算及影响因素分析[J].自然资源学报,2022,37(2)：494-507.

Memo

Memo:
-
Last Update: 2023-09-19